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Artificial Intelligence Computing Leadership from NVIDIA
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Research Labs
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3D Deep Learning
Applied Research
Autonomous Vehicles
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3D Deep Learning
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(28)
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(153)
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(162)
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(151)
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(135)
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(123)
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(107)
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(85)
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(57)
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(52)
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(23)
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(26)
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(29)
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(19)
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(9)
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(13)
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(1)
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Artificial Intelligence and Machine Learning
(432)
Computer Vision
(305)
Computer Graphics
(295)
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(222)
Robotics
(107)
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(101)
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(98)
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(90)
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(87)
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(79)
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(62)
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(61)
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(49)
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(49)
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(46)
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(39)
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(35)
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(26)
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(22)
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(12)
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(38)
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(6)
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(9)
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(13)
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(28)
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(2)
2018
ACCORD: Enabling Associativity for Gigascale DRAM Caches by Coordinating Way-Install and Way-Prediction
Vinson Young, Chiachen Chou,
Aamer Jaleel
, Moinuddin Qureshi
Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training
Maohua Zhu,
Jason Clemons
, Jeff Pool, Minsoo Rhu,
Steve Keckler
, Yuan Xie
Scalable Collectives for Distributed Asynchronous Many-Task Runtimes
Matthew Whitlock, Hemanth Kolla, Sean Treichler, Philippe Pebay, Janine C. Bennett
BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization
Steve Petruzza, Sean Treichler, Valerio Pascucci, Peer-Timo Bremer
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations
Jonathan Tremblay
, Thang To, Artem Molchanov,
Stephen Tyree
,
Jan Kautz
,
Stan Birchfield
ICRA
Combining Analytic Direct Illumination and Stochastic Shadows
Eric Heitz, Stephen Hill, Morgan McGuire
Full-Stack Memory Model Verification with TriCheck
Caroline Trippel, Yatin A. Manerkar,
Daniel Lustig
,
Michael Pellauer
, Margaret Martonosi
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning
Yuval Atzmon
,
Gal Chechik
Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency
Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal,
Niladrish Chatterjee
, Abhijith Kashyap,
Donghyuk Lee
,
Mike O'Connor
, Hasan Hassan, Onur Mutlu
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Huaijin Chen,
Jinwei Gu
,
Orazio Gallo
,
Ming-Yu Liu
, Ashok Veeraraghavan,
Jan Kautz
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
,
Timo Aila
,
Samuli Laine
, Jaakko Lehtinen
A Variable Shape and Variable Stiffness Controller for Haptic Virtual Interactions
Benjamin C. Mac Murray, Bryan N. Peele, Patricia Xu,
Josef Spjut
,
Omer Shapira
,
David Luebke
, Robert F. Shepherd
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay
, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon,
Stan Birchfield
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification
Sam Leroux,
Pavlo Molchanov
, Pieter Simoens, Bart Dhoedt,
Thomas Breuel
,
Jan Kautz
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Nikolai Smolyanskiy, Alexey Kamenev,
Stan Birchfield
Ground-Referenced Signaling for Intra-Chip and Short-Reach Chip-to-Chip Interconnects
Walker Turner
, John Poulton,
John Wilson
,
Xi Chen
,
Stephen Tell
,
Matt Fojtik
,
Trey Greer
,
Brian Zimmer
,
Sanquan Song
,
Nikola Nedovic
,
Sudhir Kudva
, Sunil Sudhakaran, Rizwan Bashirullah, Wenxu Zhao,
William Dally
,
Tom Gray
A Switching Linear Regulator Based on a Fast-Self-Clocked Comparator with Very Low Probability of Meta-stability and a Parallel Analog Ripple Control Module
Sudhir Kudva
,
Sanquan Song
, John Poulton,
John Wilson
, Wenxu Zhao,
Tom Gray
DUO: Exposing On-chip Redundancy to Rank-Level ECC for High Reliability
Seong-Lyong Gong, Jungrae Kim,
Michael B. Sullivan
, Howard David, Mattan Erez
Synchronous Multi-GPU Deep Learning with Low-Precision Communication: An Experimental Study
Demjan Grubic, Leo Tam, Dan Alistarh, Ce Zhang
Riemannian Motion Policies
Nathan Ratliff, Jan Issac, Daniel Kappler,
Stan Birchfield
,
Dieter Fox
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu,
Mike O'Connor
,
Niladrish Chatterjee
, Jeff Pool, Youngeun Kwon,
Steve Keckler
Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction
Donghyuk Lee
,
Mike O'Connor
,
Niladrish Chatterjee
Best Paper nominee
Stitch-X: An Accelerator Architecture for Exploiting Unstructured Sparsity in Deep Neural Networks
Ching-En Lee, Yakun Sophia Shao, Jie-Fang Zhang,
Angshuman Parashar
,
Joel Emer
,
Steve Keckler
, Zhengya Zhang
MeltdownPrime and SpectrePrime: Automatically-Synthesized Attacks Exploiting Invalidation-Based Coherence Protocols
Caroline Trippel,
Daniel Lustig
, Margaret Martonosi
A 1.17pJ/b 25Gb/s/pin Ground-Referenced Single Ended Serial Link for Off- and On-Package Communication in 16nm CMOS Using a Process- and Temperature-Adaptive Voltage Regulator
John Wilson
,
Walker Turner
, John Poulton,
Brian Zimmer
,
Xi Chen
,
Sanquan Song
,
Stephen Tell
,
Nikola Nedovic
, Wenxu Zhao, Sunil Sudhakaran,
Tom Gray
,
William Dally
Learning Binary Residual Representations for Domain-specific Video Streaming
Yi-Hsuan Tsai,
Ming-Yu Liu
, Deqing Sun, Ming-Hsuan Yang,
Jan Kautz
Learning Adaptive Parameter Tuning for Image Processing
Jingming Dong,
Iuri Frosio
,
Jan Kautz
2017
Integrating External Resources with a Task-Based Programming Model
Zhihao Jia, Sean Treichler, Galen Shipman,
Michael Bauer
, Noah Watkins, Carlos Maltzahn, Patrick McCormick, Alex Aiken
Parallel Complexity of Forward and Backward Propagation
Maxim Naumov
Integral Equations and Machine Learning
Alex Keller
, Ken Dahm
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda, Maxim Naumov,
Michael Garland
On Nearest Neighbors in Non Local Means Denoising
Iuri Frosio
,
Jan Kautz
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